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Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease
Journal article   Open access   Peer reviewed

Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease

Max A. Little, Patrick E. McSharry, Eric J. Hunter, Jennifer Spielman and Lorraine O. Ramig
IEEE transactions on biomedical engineering, Vol.56(4), pp.1015-1022
04/01/2009
DOI: 10.1109/TBME.2008.2005954
PMCID: PMC3051371
PMID: 21399744
url
https://www.ncbi.nlm.nih.gov/pmc/articles/3051371View
Open Access

Abstract

In this paper, we present an assessment of the practical value of existing traditional and nonstandard measures for discriminating healthy people from people with Parkinson's disease (PD) by detecting dysphonia. We introduce a new measure of dysphonia, pitch period entropy (PPE), which is robust to many uncontrollable confounding effects including noisy acoustic environments and normal, healthy variations in voice frequency. We collected sustained phonations from 31 people, 23 with PD. We then selected ten highly uncorrelated measures, and an exhaustive search of all possible combinations of these measures finds four that in combination lead to overall correct classification performance of 91.4%, using a kernel support vector machine. In conclusion, we find that nonstandard methods in combination with traditional harmonics-to-noise ratios are best able to separate healthy from PD subjects. The selected nonstandard methods are robust to many uncontrollable variations in acoustic environment and individual subjects, and are thus well suited to telemonitoring applications.
Engineering Engineering, Biomedical Science & Technology Technology

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